Banuba Alternative to Bytedance SDK (TikTok SDK)
If you need TikTok-like effects, Banuba Face AR SDK provides them in an easy-to-integrate package. While having similar variety, it offers higher quality of effects, especially when it comes to face touch-up and virtual makeup.
Advantages of Banuba Face AR SDK
Unique tracking features
Face AR SDK offers precise detection of all facial features, hands, and even nail length. 16 types of virtual cosmetics. It is also cross-platform, supporting mobile, web, and desktop.
Industry-leading touch-up
When applying face touch-up, Face AR SDK retains the person’s skin look and texture instead of blurring everything. This helps remove imperfections and camera distortions without changing the user’s intrinsic features.
Background separation quality
Banuba SDK includes expanded virtual background options: static images, videos, GIFs and 3D environments. Handheld items are detected as a part of the person.
Banuba Face AR SDK vs Bytedance SDK
| Banuba | Bytedance | |
|---|---|---|
| Mobile support (iOS, Android) | ||
| Web support | ||
| Dekstop support (MacOS, Windows) | ||
| Face tracking | ||
| Multi-face tracking | ||
| Face recognition | Face recognition bounderies ignore forehead | |
| Face filters | ||
| Morphings | 28 dimensions | 19 dimensions |
| Skin touch-up |
The texture is preserved Natural look |
The skin texture is blurred Unnatural look |
| Presets | ||
| Sclera whitening | ||
| Background separation | ||
| Background separation quality | Clearer separation, clear borders | Low-quality separation |
| Background types | Static image, videos, Gifs, 360-degree backgrounds | Static image only |
| Physics effects | ||
| AR makeup | ||
| Works with different skin tones | ||
| Professionally looking makeup | Low-quality technology (implemented as a mask/3D effect, with no segmentation) | |
| Makeup products types | 16 | 5 |
| Detects eyebrow shape | ||
| Eyebrow makeup | Correct application | Incorrect application |
| Hands segmentation | ||
| Handheld object segmentation |
Detects a handheld item (smartphone) as part of the object |
Detects a handheld item (smartphone) as part of the background |
| Nails try-on and detection | ||
| Length and shape of the fingernails detection and estimation | ||
| Demo application |